Literature DB >> 27301674

A new paradigm for predicting risk of Torsades de Pointes during drug development: Commentary on: "Improved prediction of drug-induced Torsades de Pointes through simulations of dynamics and machine learning algorithms".

M D McCauley1, D Darbar2.   

Abstract

Drug-induced long QT syndrome (diLQTS) is a clinical entity in which administration of a drug produces marked prolongation of the QT interval on the ECG. DiLQTS places a patient at risk of developing Torsades de Pointes (TdP), a malignant polymorphic ventricular tachycardia associated with arrhythmic sudden cardiac death (SCD). In addition to diLQTS, other clinical risk factors for TdP include female gender, bradycardia, electrolyte disturbances, recent conversion to normal (sinus) rhythm, and congenital LQTS.
© 2016 ASCPT.

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Year:  2016        PMID: 27301674      PMCID: PMC5314413          DOI: 10.1002/cpt.408

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  10 in total

Review 1.  Cardiac excitation-contraction coupling.

Authors:  Donald M Bers
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

2.  Suppression of phosphoinositide 3-kinase signaling and alteration of multiple ion currents in drug-induced long QT syndrome.

Authors:  Zhongju Lu; Chia-Yen C Wu; Ya-Ping Jiang; Lisa M Ballou; Chris Clausen; Ira S Cohen; Richard Z Lin
Journal:  Sci Transl Med       Date:  2012-04-25       Impact factor: 17.956

3.  Rechanneling the cardiac proarrhythmia safety paradigm: a meeting report from the Cardiac Safety Research Consortium.

Authors:  Philip T Sager; Gary Gintant; J Rick Turner; Syril Pettit; Norman Stockbridge
Journal:  Am Heart J       Date:  2013-12-02       Impact factor: 4.749

4.  Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms.

Authors:  M Cummins Lancaster; E A Sobie
Journal:  Clin Pharmacol Ther       Date:  2016-05-20       Impact factor: 6.875

5.  In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models.

Authors:  Ryan Hoefen; Matthias Reumann; Ilan Goldenberg; Arthur J Moss; Jin O-Uchi; Yiping Gu; Scott McNitt; Wojciech Zareba; Christian Jons; Jorgen K Kanters; Pyotr G Platonov; Wataru Shimizu; Arthur A M Wilde; John Jeremy Rice; Coeli M Lopes
Journal:  J Am Coll Cardiol       Date:  2012-11-20       Impact factor: 24.094

Review 6.  Proarrhythmic and Torsadogenic Effects of Potassium Channel Blockers in Patients.

Authors:  Mark McCauley; Sharath Vallabhajosyula; Dawood Darbar
Journal:  Card Electrophysiol Clin       Date:  2016-03-22

7.  Flecainide prevents catecholaminergic polymorphic ventricular tachycardia in mice and humans.

Authors:  Hiroshi Watanabe; Nagesh Chopra; Derek Laver; Hyun Seok Hwang; Sean S Davies; Daniel E Roach; Henry J Duff; Dan M Roden; Arthur A M Wilde; Björn C Knollmann
Journal:  Nat Med       Date:  2009-03-29       Impact factor: 53.440

8.  High-throughput screening of drug-binding dynamics to HERG improves early drug safety assessment.

Authors:  Giovanni Y Di Veroli; Mark R Davies; Henggui Zhang; Najah Abi-Gerges; Mark R Boyett
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9.  Circadian rhythms govern cardiac repolarization and arrhythmogenesis.

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Journal:  Nature       Date:  2012-02-22       Impact factor: 49.962

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Authors:  Tao Yang; Young Wook Chun; Dina M Stroud; Jonathan D Mosley; Bjorn C Knollmann; Charles Hong; Dan M Roden
Journal:  Circulation       Date:  2014-06-03       Impact factor: 29.690

  10 in total
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Review 2.  Recent applications of quantitative systems pharmacology and machine learning models across diseases.

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  2 in total

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